Top Analysis Reporting Jobs in Miami, FL

Design, optimize, and maintain scalable data architectures, pipelines, and processing solutions. Ensure data quality, perform SQL and Python analysis, build dashboards and visualizations, and support marketing and product analytics. Lead tooling development, requirements gathering, QA, stakeholder communications, and cross-functional initiatives while providing technical guidance and managing team decisions.

Reviews and validates music royalty statements, investigates data inconsistencies, and converts financial reports into standardized datasets. Builds Python automation tools, improves processing accuracy and scalability, monitors operational metrics, and collaborates with Engineering, Finance, Investment, Research, and Product teams to support pricing and underwriting decisions.

Leads mission data integration and engineering initiatives supporting SOUTHCOM’s Common Intelligence and Operational Pictures. Responsibilities include building ETL pipelines, ingesting and transforming data, managing Databricks, Maven Smart System, and War Data Platform solutions, developing machine learning and statistical models, validating data quality, supporting secure interoperability, collaborating with intelligence and operational teams, delivering training, and documenting analytical processes.

Senior Business Analyst partners with leadership on priorities and strategic initiatives, mentors analysts, and coordinates cross-functional stakeholders. Responsibilities include gathering complex requirements, creating technical documentation, managing project risks and timelines, designing testing strategies, overseeing UAT, conducting gap and impact analyses, leading workshops, and driving process improvements. The role also provides training and supports Agile delivery across technical and business teams.

Leads data availability, dashboard management, commercial analytics, and automation initiatives for global Commercial teams. Owns data products in Skywise and Qlik, uses statistical methods to generate business insights, develops AI-enabled automation solutions, and supports data governance and deployment. Partners with internal and external stakeholders, trains users on digital applications and robotics, and promotes a data-driven culture. The role requires at least three years of relevant experience and up to 15% domestic and international travel.

The Senior Catastrophe Risk Modeling Analyst supports underwriting through catastrophe modeling and exposure management, primarily for Latin America, and collaborates with various teams to improve risk assessment and reporting.

Leads a team of data analysts supporting marketing campaigns and projects. Defines audience, segmentation, and measurement requirements; designs Alteryx workflows and ETL processes; connects Salesforce, Data Cloud, Databricks, and other platforms; ensures data quality, integrity, privacy, and regulatory compliance; and improves reusable data delivery processes across marketing technology systems.

Manage a global analytics case queue and fulfill reporting, order management, and ad hoc analysis requests. Build and maintain data models, Salesforce and Gong dashboards, and performance scorecards. Support sales compensation, incentive validation, quota goal sheets, territory management, pipeline health checks, and data integrity. Partner with Sales Operations, Finance, leadership, and field teams to ensure accurate, actionable reporting and timely commission processing.

Provides advanced workforce analytics for contact center workforce management. Analyzes operational and workforce data, develops forecasts, staffing models, dashboards, predictive insights, and KPI reporting, and recommends improvements to efficiency, capacity, productivity, and service levels. Partners with HR, business, technology, and operations stakeholders to integrate data, automate reporting, improve workforce planning, and support data-driven decisions.

Leads regional marketing analytics strategy, performance measurement, attribution, media mix modeling, experimentation, lifecycle analytics, forecasting, and ROI optimization. Partners with marketing, product, finance, data science, engineering, and regional teams to guide investment and growth decisions. Builds dashboards, governance, and scalable measurement practices while translating complex analysis into executive recommendations. Manages and develops a high-performing marketing analytics team.